• Korean Journal of Construction Engineering and Management
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• v.18 no.4
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• pp.27-35
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• 2017

Based on Income-approach, this study develops the evaluation model which reflects construction industry's traits. Using Income approach, we derive future income's present value and evaluates the technological value by contribution to future income. As there exist more random variables in construction technology than in standardized manufactured products, we cannot help relying on not only quantitative estimation method but also qualitative evaluation by technology and market experts when we estimates construction technology value. Also, conservative estimation is needed for discount rate and cash-flow estimation, because of high uncertainty in sales and profits in construction industry. In empirical analysis, we applied economic periods of duration and cash-flow based on the standard guideline, and analyzed discount rate and technology factor based on characteristics of construction industry. The discount rate is estimated to 15% because of risk-premium increase by conservative evaluation. Technology factor is estimated to 46.7%, because technological intensity is estimated to 72% by technological superiority. Such implications can be inferred. Firstly, we need to build a database to diversify categories for division of sectors by activity or industrial classification which is now categorized only by two sectors in standard guideline. Secondly, the roles of experts who participate in technology evaluation are important because of volatility of construction technology.

• The Korean Journal of Food And Nutrition
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• v.25 no.1
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• pp.57-63
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• 2012

This paper analyzes phenolic compounds, carbon isotopes, and sugar components of whiskys based on the maturation period. For this, the paper considers a total of 40 whiskys(mainly imports) distributed in Korea. It is important to analyze the presence phenolic compounds(e.g., furfural, syringaldehyde, vanillin, syringic acid, and vanillic acid) because these are found only in whiskys ripened in oak. The results indicate that the total content of phenolic compounds increased with the increase in the storage period regardless of the type of whisky. In terms of vanillin/syringaldehyde(V/S), Scotch whiskys had 0.4~0.5; American whiskies, 0.30~0.34; and Canadian whiskies, 0.31~0.33. In terms of Scotch whiskys, Macallan had 0.25~0.34, making it unique among Scotch whiskys. In terms of the ratio of carbon isotopes, there were clear differences between malt Scotch whiskys, blended Scotch grain whiskys, American whiskys, and Canadian whiskys: -23.4~ -24.3, -16.8~-21.0, -11.0~-11.5 and -9.5~13.9, respectively. In addition, malt Scotch whiskys contained 40~230 $mg/{\ell}$ of fructose; blended Scotch whiskys, 20~120 $mg/{\ell}$; American whiskys, 50~70 $mg/{\ell}$; and Canadian whiskys, 20~100 $mg/{\ell}$, demonstrating that the fructose content of single-malt whiskys was twice the average fructose content. On the other hand, malt Scotch whiskys contained 30~170 $mg/{\ell}$ of glucose; blended Scotch whiskys, 20~120 $mg/{\ell}$; American whiskys, 20~30 $mg/{\ell}$; and Canadian whiskys, 10~110 $mg/{\ell}$, demonstrating that the glucose content of single-malt whiskys exceeded the average glucose content. This study's results can be used as a database of classification for whiskys based on the fermentation of raw ingredients and the period of maturation for distinguishing between different types of whiskys. In addition, the results can facilitate the verification of genuine whiskys by allowing for the identification of different types of whiskys based on the period of maturation.

• Korean Journal of Veterinary Service
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• v.41 no.2
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• pp.97-104
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• 2018

Recently, demographic studies of veterinary medical database have been conducted to understand patterns of disease occurrence. Understanding incidence of breed-related disease would provide appropriate guidance for future health care strategies and offer useful information for early diagnosis of disease. However, in veterinary medicine, theses research has not yet been investigated in the Republic of Korea. The purpose of this study was to investigate the prevalence of common medical disorders among dog breeds examined at primary-care veterinary clinics in Jeollabuk-Do, Republic of Korea. The data were analyzed based on World Health Organization's International Classification of Disease. A total 13,176 medical records of canine patients were analyzed from six primary veterinary clinics in Jeollabuk-Do from January to December 2016. Results showed that the most common health problems were 'disease of skin' (17.7%); followed by 'diseases of digestive system' (12.26%), 'preventive medicine' (10.08%), and 'diseases of ear and mastoid process' (10.4%). In seven out of ten breeds, the most common medical disorder was skin disease. For poodle such as Pomeranian and Chihuahua, digestive system disease was most prevalent. On the other hand, respiratory system disease was found to be higher in Pomeranian than other breeds; while ear and mastoid process disease was most common for Maltese and Poodle. This study can help owners, breeders, and veterinarians prevent and manage various diseases of popular breeds in Jeollabuk-Do in the future.

• Journal of KIISE:Databases
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• v.28 no.3
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• pp.279-300
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• 2001

Data mining plays an important role in knowledge discovery process and usually various existing algorithms are selected for the specific purpose of the mining. Currently, data mining techniques are actively to the statistics, business, electronic commerce, biology, and medical area and currently numerous algorithms are being researched and developed for these applications. However, in a long run, only a few algorithms, which are well-suited to specific applications with excellent performance in large database, will survive. So it is reasonable to focus our effort on those selected algorithms in the future. This paper classifies about 30 existing algorithms into 7 categories - association rule, clustering, neural network, decision tree, genetic algorithm, memory-based reasoning, and bayesian network. First of all, this work analyzes systematic hierarchy and characteristics of algorithms and we present 14 criteria for classifying the algorithms and the results based on this criteria. Finally, we propose the best algorithms among some comparable algorithms with different features and performances. The result of this paper can be used as a guideline for data mining researches as well as field applications of data mining.

• Korean Journal of Community Nutrition
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• v.26 no.3
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• pp.211-227
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• 2021

Objectives: We aimed to examine the association between the relative preference for vegetables and meat and cancer incidence, in a population-based retrospective cohort in Korea. Methods: We included 10,148,131 participants (5,794,124 men; 4,354,007 women) who underwent national health screening between 2004 and 2005 from the National Health Information Database of the National Health Insurance Service (NHIS-NHID). Participants were asked whether they preferred consuming 1) vegetables more often, 2) both vegetables and meat or 3) meat more often. Participants were followed up to Dec. 31, 2017. All cancer and eighteen common cancer cases were identified through the code from the International Classification of Diseases, 10th revision. We estimated sex-specific relative risks and 95% confidence intervals, adjusting for age, body mass index, alcohol consumption, smoking, physical activity, and income level. Results: During an average follow-up of 12.4 years, 714,170 cancer cases were documented. In men, consuming meat more often was associated with lower risk of esophageal, liver, and stomach cancers, but higher risk of lung and kidney cancers. Consuming both vegetables and meat was associated with higher risk of prostate cancer, but with lower risk of esophageal, liver, and stomach cancers in men. In women, consuming meat more often was associated with a higher risk of colorectal cancer and breast, endometrial, and cervical cancers diagnosed before the age of 50. Consuming both vegetables and meat was associated with lower risk of liver cancer in women. Conclusions: Our study suggests a potential link between vegetable and meat intake and cancer incidence in the Korean population. Further investigation on the association between the intake of specific types of vegetables and meat and cancer risk in Korean prospective cohort studies is needed.

• The Journal of the Acoustical Society of Korea
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• v.28 no.2
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• pp.112-118
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• 2009

This paper proposes a rapid detection algorithm of a salient region for music video browsing system, which can be applied to mobile device and digital video recorder (DVR). The input music video is decomposed into the music and video tracks. For the music track, the music highlight including musical chorus is detected based on structure analysis using energy-based peak position detection. Using the emotional models generated by SVM-AdaBoost learning algorithm, the music signal of the music videos is classified into one of the predefined emotional classes of the music automatically. For the video track, the face scene including the singer or actor/actress is detected based on a boosted cascade of simple features. Finally, the salient region is generated based on the alignment of boundaries of the music highlight and the visual face scene. First, the users select their favorite music videos from various music videos in the mobile devices or DVR with the information of a music video's emotion and thereafter they can browse the salient region with a length of 30-seconds using the proposed algorithm quickly. A mean opinion score (MOS) test with a database of 200 music videos is conducted to compare the detected salient region with the predefined manual part. The MOS test results show that the detected salient region using the proposed method performed much better than the predefined manual part without audiovisual processing.

• Journal of Korean Society of Archives and Records Management
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• v.4 no.2
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• pp.76-90
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• 2004

There had been substantial demand for record management system with which to efficiently control the information circulation processes, involving accumulation of recorded materials, classification of information resources, and users access to them. It converged to a collaboration of Australian federation, and Sydney Records Centre and finally induced Australian Standard Records Management, commonly known as AS 4390. AS 4390 served later as a model for International Standard of Record Management. This paper introduces the current undertaking of Recordkeeping system development in Australia, which stems from the line of AS 4390 by analysing exhibited research approaches. The analysis includes the definition, regime of Recordkeeping system, design and implementing of guidelines of Recordkeeping System and information on metadata projects. It also highlights the necessity for standardization, as is the prime factor in promoting inter-linking of Tabularium on New Southwales State, CRS(Commonwealth Record Series), database system of Canberra National Archives and Australian Government Locator Service. From year 2005, as dictates, any record management system, serving public agency will be required to adapt Professional Archives Management System, which, by far, will enhance the inter-compatibility. In its application, the government need Thesaurus to eliminate possible redundancy in use of terminology and to promote correct usage of words.

• Journal of the Korean Geotechnical Society
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• v.28 no.4
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• pp.23-33
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• 2012

Recently, landslide disasters caused by severe rain storms and typhoons have been frequently reported. Due to the geomorphologic characteristics of Korea, considerable portion of urban area and infrastructures such as road and railway have been constructed near mountains. These infrastructures may encounter the risk of landslide and debris flow. It is important to evaluate the highly risky locations of landslide and to prepare measures for the protection of landslide in the process of construction planning. In this study, a landslide-risk prediction equation is proposed based on the statistical analysis of 423 landslide data set obtained from field surveys, disaster reports on national road, and digital maps of landslide area. Each dataset includes geomorphologic characteristics, soil properties, rainfall information, forest properties and hazard history. The comparison between the result of proposed equation and actual occurrence of landslide shows 92 percent in the accuracy of classification. Since the input for the equation can be provided within short period and low cost, and the results of equation can be easily incorporated with hazard map, the proposed equation can be effectively utilized in the analysis of landslide-risk for large mountainous area.

• Journal of KIISE
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• v.41 no.9
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• pp.666-673
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• 2014

This paper proposes a scalable face recognition method for unconstrained face databases, and shows a simple experimental result. Existing face recognition research usually has focused on improving the recognition rate in a constrained environment where illumination, face alignment, facial expression, and background is controlled. Therefore, it cannot be applied in unconstrained face databases. The proposed system is face feature extraction algorithm for unconstrained face recognition. First of all, we extract the area that represent the important features(landmarks) in the face, like the eyes, nose, and mouth. Each landmark is represented by a high-dimensional LBP(Local Binary Pattern) histogram feature vector. The multi-scale LBP histogram vector corresponding to a single landmark, becomes a low-dimensional face feature vector through the feature reduction process, PCA(Principal Component Analysis) and LDA(Linear Discriminant Analysis). We use the Rank acquisition method and Precision at k(p@k) performance verification method for verifying the face recognition performance of the low-dimensional face feature by the proposed algorithm. To generate the experimental results of face recognition we used the FERET, LFW and PubFig83 database. The face recognition system using the proposed algorithm showed a better classification performance over the existing methods.

• Korean Journal of Plant Resources
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• v.19 no.4
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• pp.459-470
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• 2006

This study was carried out objectively to analyze the distributing flora for the conservation of natural environment and to construct the database in Mt. Joryeong, Chungcheongbuk-do, Korea. The period of survey was from November, 2004 to September, 2005, and the routes were A (Recreation $forest{\sim}Shinseon-bong$), B $(Shinseon-bong{\sim}Mapae-bong)$, C(Joryeong 3rd $gateway{\sim}Mapae-bong$), and D $(Yongseong-gol{\sim}Gitdae-bong)$. The vascular plants were summarized as 341 taxa; 85 families, 219 genera, 299 species, 36 varieties, and 6 forma. The rare and endangered plants designated by Korea Forest Service were 3 taxa; Paeonia japonica, Viola albida, and Rhododendron micranthum. The Korean endemic plants were 9 taxa; Cephalotaxus harringtonia, Salix caprea, Deutzia coreana, Spiraea prunifolia for. simpliciflora, $Lespedeza{\times}tomentella$, Vaccinium koreanum, Salvia chanroenica, Weigela subsessilis, and Cirsium setidens. And in the results of survey on resource plants, we confirmed 171 taxa of ornamental plants (50.1%), 222 taxa of edible plants (65.1%), 237 taxa of medicinal plants (69.5%) and 146 taxa of other useful plants (42.8%).